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28,593 Article Results

Virtual Laboratory for Line Follower Robot Competition

10.11591/ijece.v7i4.pp2253-2260
Suwasono Suwasono , Dwi Prihanto , Irawan Dwi Wahyono , Andrew Nafalski
Laboratory serves as an important facility for experiment and research activity. The limitation of time, equipment, and capacity in the experiment and research undertaking impede both students and college students in undertaking research for competition preparation, particularly dealing with line follower robot competition which requires a wide space of the room with various track types. Unsettled competition track influences PID control setting of line follower robot. This study aims at developing Virtual Laboratory (V-Lab) for students or college students who are preparing for line follower robot competition with unsettled and changeable tracks. This study concluded that the trial data score reached 98.5%, the material expert score obtained 89.7%, learning model expert score obtained 97.9%, and the average score of small group learning model and field of 82.4%, which the average score of the entire aspects obtained 90.8%.
Volume: 7
Issue: 4
Page: 2253-2260
Publish at: 2017-08-01

A Study of SVC’s Impact Simulation and Analysis for Distance Protection Relay on Transmission Lines

10.11591/ijece.v7i4.pp1686-1695
Ngo Minh Khoa , Nguyen Huu Hieu , Dinh Thanh Viet
This paper focuses on analyzing and evaluating impact of a Static Var Compensator (SVC) on the measured impedance at distance protection relay location on power transmission lines. The measured impedance at the relay location when a fault occurs on the line is determined by using voltage and current signals from voltage and current transformers at the relay and the type of fault occurred on the line. The MHO characteristic is applied to analyze impact of SVC on the distance protection relay. Based on the theory, the authors in this paper develop a simulation program on Matlab/Simulink software to analyze impact of SVC on the distance protection relay. In the power system model, it is supposed that the SVC is located at mid-point of the transmission line to study impact of SVC on the distance relay. The simulation results show that SVC will impact on the measured impedance at the relay when the fault occurs after the location of the SVC on the power transmission line.
Volume: 7
Issue: 4
Page: 1686-1695
Publish at: 2017-08-01

Design and Simulation of Automatic Temperature Control and Alert System Based PIC16F887

10.11591/ijict.v6i2.pp95-104
Jabbar Shaati Jahlool
In this research, the design and simulation of an automatic system for temperature control using embedded system in order to automatically control of multi appliances depend on the temperature value. The appliances will be controlled are ventilation, cooling, heating and alert. this is an order to avoid or reduce to human intervention and increase system reliability. An important feature of this automation process is to reduce or eliminate the possibility of relying on the human factor operator for industries, warehouses and laboratories, and to improve working and performance environments. The system in this paper used the microcontroller PIC16F887 as the central control unit, LM35 temperature sensor as a temperature source,16x2 liquid crystal display (LCD) as indicator to display the different system working status an addition to some of drivers, relay and light emitting diodes (LED) as indicators to display the corresponding working appliance driver. The implementation and simulation of the system work has been achieved by using proteus professional software v8.0 and mikroc pro for pic v .6.6.1 software to write the equivalent program and generate .hex file for system working. The result shows in figures 5, 6, 7, and 8 that explain the system working cases
Volume: 6
Issue: 2
Page: 95-104
Publish at: 2017-08-01

A New Induction Motor Adaptive Robust Vector Control based on Backstepping

10.11591/ijece.v7i4.pp1983-1993
Mhamed Madark , A. Ba-Razzouk , E. Abdelmounim , M.El Malah
In this paper, a novel approach to nonlinear control of induction machine, recursive on-line estimation of rotor time constant and load torque are developed. The proposed strategy combines Integrated Backstepping and Indirect Field Oriented Controls. The proposed approach is used to design controllers for the rotor flux and speed, estimate the values of rotor time constant and load torque and track their changes on-line. An open loop estimator is used to estimate the rotor flux. Simulation results are presented which demonstrate the effectiveness of the control technique and on-line estimation.
Volume: 7
Issue: 4
Page: 1983-1993
Publish at: 2017-08-01

Energy Optimization of Routing Protocols in Wireless Sensor Networks

10.11591/ijict.v6i2.pp76-85
Fatima Es-sabery , Hicham Ouchitachen , Abdellatif Hair
The hierarchical routing of data in WSNs is a specific class of routing protocols it encompasses solutions that take a restructuring of the physical network in a logical hierarchy system for the optimization of the consum-ption of energy. Several hierarchical routing solutions proposed, namely: the protocol LEACH (Low Energy Adaptive Clustering Hierarchy) consist of dividing the network in distributed clusters at one pop in order of faster data delivery and PEGASIS protocol (Power-Efficient Gathering in Sensor Information Systems) which uses the principle of constructing a chain’s sensor node. Our contribution consists of a hierarchical routing protocol, which is the minimization of the energy consumption by reducing the transmission distance of data and reducing the data delivery time. Our solution combines the two hierarchical routing approaches: chain based approach and the cluster based approach. Our approach allows for multi-hop communications, intra- and intercluster, and a collaborative aggregation of data in each Cluster, and a collaborative aggregation of data at each sensor node.
Volume: 6
Issue: 2
Page: 76-85
Publish at: 2017-08-01

Particle Swarm Optimization for the Path Loss Reduction in Suburban and Rural Area

10.11591/ijece.v7i4.pp2125-2131
Messaoud Garah , Houcine Oudira , Lotfi Djouane , Nazih Hamdiken
In the present work, a precise optimization method is proposed for tuning the parameters of the COST231 model to improve its accuracy in the path loss propagation prediction. The Particle Swarm Optimization is used to tune the model parameters. The predictions of the tuned model are compared with the most popular models. The performance criteria selected for the comparison of various empirical path loss models is the Root Mean Square Error (RMSE). The RMSE between the actual and predicted data are calculated for various path loss models. It turned out that the tuned COST 231 model outperforms the other studied models.
Volume: 7
Issue: 4
Page: 2125-2131
Publish at: 2017-08-01

Prioritizing Power demand response for Hydrogen PEMFC-Electric Vehicles using Hybrid Energy Storage

10.11591/ijece.v7i4.pp1789-1796
Jawadi Samir , Ben Slama Sami , Cherif Adnane
PEMFC powered Hybrid vehicle system is one of an interesting issue for the industry due to its high performances. The PEMFC cannot certainly ensure a sustained required energy in some scenarios. To solve this problem related to PEMFC transient response, a Hybrid Electrical Storage System (HES) is a potential candidate for a solution. The proposed Hybrid Storage system is comprised of the battery (BT) and a Super-Capacitor (SC) components. These components are included to control the hydrogen variations and the fast peak powers scenarios respectively. The SC is used to control PEMFC and the BT slow dynamics at the same times. An accurate Multi-Ways Energy Management System (MW-EMS) is proposed which aims to cooperate with the system components through SC/BT state of charge and a flux calculation. The simulation results are discussed and assessed using  MATLAB/ Simulink.
Volume: 7
Issue: 4
Page: 1789-1796
Publish at: 2017-08-01

Performance Evaluation of Energy Detector Based Spectrum Sensing for Cognitive Radio using NI USRP-2930

10.11591/ijece.v7i4.pp1934-1940
Fatima Zahra El Bahi , Hicham Ghennioui , Mohcine Zouak
This paper presents the performance evaluation of the Energy Detector technique, which is one of the most popular Spectrum Sensing (SS) technique for Cognitive Radio (CR). SS is the ability to detect the presence of a Primary User (PU) (i.e. licensed user) in order to allow a Secondary User (SU) (i.e unlicensed user) to access PU's frequency band using CR, so that the available frequency bands can be used efficiently. We used for implementation an Universal Software Radio Peripheral (USRP), which is the most used Software Defined Radio (SDR) device for research in wireless communications. Experimental measurements show that the Energy Detector can obtain good performances in low Signal to Noise Ratio (SNR) values. Furthermore, computer simulations using MATLAB are closer to those of USRP measurements.
Volume: 7
Issue: 4
Page: 1934-1940
Publish at: 2017-08-01

Extending UPnP for Application Interoperability in a Home Network

10.11591/ijece.v7i4.pp2085-2093
Kalaiselvi Arunachalam , Gopinath Ganapathy
The Universal Plug and Play (UPnP) technology offers pervasive communication across heterogeneous devices in a home or small office network. The UPnP specifications are available for devices only to be interoperable together in a home or small office network. This paper proposes an extension of the UPnP technology for application interoperability in a home or small office network. This paper provides an UPnP Application Architecture as an extension to the existing UPnP Device Architecture. This extension enhances the feature of UPnP from device interoperability to application interoperability which enables the applications to discover, control and share data with each other in a home or small office network despite of their device type and operating system. In addition to the UPnP Application Architecture, the UPnP Application Template and UPnP Application Service Template are defined towards the development of UPnP-enabled applications that run on heterogeneous devices in a home or small office network.
Volume: 7
Issue: 4
Page: 2085-2093
Publish at: 2017-08-01

Fuzzy Association Rule Mining based Model to Predict Students’ Performance

10.11591/ijece.v7i4.pp2223-2231
Sushil Kumar Verma , R.S. Thakur , Shailesh Jaloree
The major intention of higher education institutions is to supply quality education to its students. One approach to get maximum level of quality in higher education system is by discovering knowledge for prediction regarding the internal assessment and end semester examination. The projected work intends to approach this objective by taking the advantage of fuzzy inference technique to classify student scores data according to the level of their performance. In this paper, student’s performance is evaluated using fuzzy association rule mining that describes Prediction of performance of the students at the end of the semester, on the basis of previous database like Attendance, Midsem Marks, Previous semester marks and Previous Academic Records were collected from the student’s previous database, to identify those students which needed individual attention to decrease fail ration and taking suitable action for the next semester examination.
Volume: 7
Issue: 4
Page: 2223-2231
Publish at: 2017-08-01

Content Based Image Retrieval using Feature Extraction in JPEG Domain and Genetic Algorithm

10.11591/ijeecs.v7.i1.pp226-233
Parvin N , Kavitha P
Content-Based Image Retrieval (CBIR) aims at retrieving the images from the database based on the user query which is visual form rather than the traditional text form. The applications of CBIR extends from surveillance to remote sensing, medical imaging to weather forecasting, security systems to historical research and so on. Though extensive research is made on content based image retrieval in the spatial domain, we have most images in the internet which is JPEG compressed which pushes the need for image retrieval in the compressed domain itself rather than decoding it to raw format before comparison and retrieval. This research addresses the need to retrieve the images from the database based on the features extracted from the compressed domain along with the application of genetic algorithm in improving the retrieval results. The research focuses on various features and their levels of impact on improving the precision and recall parameters of the CBIR system. Our experimentation results also indicate that the CBIR features in compressed domain along with the genetic algorithm usage improves the results considerably when compared with the literature techniques. 
Volume: 7
Issue: 1
Page: 226-233
Publish at: 2017-07-01

MRI Denoising using Sparse Based Curvelet Transform with Variance Stabilizing Transformation Framework

10.11591/ijeecs.v7.i1.pp116-122
Sidheswar Routray , Arun Kumar Ray , Chandrabhanu Mishra
We develop an efficient MRI denoising algorithm based on sparse representation and curvelet transform with variance stabilizing transformation framework. By using sparse representation, a MR image is decomposed into a sparsest coefficients matrix with more no of zeros. Curvelet transform is directional in nature and it preserves the important edge and texture details of MR images. In order to get sparsity and texture preservation, we post process the denoising result of sparse based method through curvelet transform. To use our proposed sparse based curvelet transform denoising method to remove rician noise in MR images, we use forward and inverse variance-stabilizing transformations. Experimental results reveal the efficacy of our approach to rician noise removal while well preserving the image details. Our proposed method shows improved performance over the existing denoising methods in terms of PSNR and SSIM for T1, T2 weighted MR images.
Volume: 7
Issue: 1
Page: 116-122
Publish at: 2017-07-01

Performance Evaluation of Elliptical-Cylindrical Antenna Array using SaDE Optimized Hyper Beam

10.11591/ijeecs.v7.i1.pp178-188
Gebrehiwet Gebrekrstos Lema
For high performance communication systems, Side Lobe Level (SLL) reduction and improved directivity are the goal of antenna designers. In the recent years, many optimization techniques of antenna design are occupying demanding place over the analytical techniques. Though they have contributed attractive solutions, it is often obvious to select one that meets the particular design need at hand. In this paper, an optimization technique called Self-adaptive Differential Evolution (SaDE) that can be able to learn and behave intelligently along with hyper beam forming is integrated to determine an optimal set of excitation weights in the design of EcAA. Non-uniform excitation weights of the individual array elements of EcAA are performed to obtain reduced SLL, high directivity and flexible radiation pattern. To evaluate the improved performance of the proposed SaDE optimized hyper beam, comparison are done with uniformly excited, SaDE without hyper beam and Genetic Algorithm (GA). In general, the proposed work of pattern synthesis has resulted in much better reduction of SLL and FNBW than both the uniformly excited and thinned EcAA. The results of this study clearly reveal that the SLL highly reduced at a very directive beamwidth.
Volume: 7
Issue: 1
Page: 178-188
Publish at: 2017-07-01

Copyright Protection by Robust Digital Image Watermarking in Unsecured Communication Channels

10.11591/ijeecs.v7.i1.pp234-249
Layth Alasafi , Tuna Göksu , Ammar Albayati
The transition from analog technologies to digital technologies has increased the ever-growing concern for protection and authentication of digital content and data. Owners of digital content of any type are seeking and exploring new technologies for the protection of copyrighted multimedia content. Multimedia protection has become an issue in recent years, and to deal with this issue, researchers are continuously searching for and exploring new effective and efficient technologies. This thesis study has been prepared in order to increase the invisibility and durability of invisible watermarking by using the multilayer Discrete Wavelet Transform (DWT) in the frequency plane and embedding two marks into an image for the purpose of authentication and copyright when digital content travels through an unsecured channel. A novel watermarking algorithm has been proposed based on five active positions and on using two marks. In addition to the extraction process, watermarking images will be subjected to a set of attack tests. The evaluation criteria have been the bases of assessing the value of SNR, PNSR, MAE and RMSE for both the watermarking images and the watermarking images after attacks, followed by the invisibility of the watermarking being measured before and after the attacks. Our lab results show high robustness and high quality images obtaining value for both SNR and PNSR.
Volume: 7
Issue: 1
Page: 234-249
Publish at: 2017-07-01

Performance Evaluation of Ethernet Network for Mobile Fronthual Networks

10.11591/ijeecs.v7.i1.pp287-298
Dawit Hadush Hailu
Increasing mobile data traffic due to the rise of both smartphones and tablets has led to high-capacity demand of mobile data network. To meet the ever-growing capacity demand and reduce the cost of mobile network components, Cloud Radio Access Network (C-RAN) has emerged as a promising solution. In such network, the mobile operator’s Remote Radio Head (RRH) and Base Band Unit (BBU) are often separated and the connection between them has very tight timing and latency requirements imposed by Common Public Radio Interface (CPRI) and 3rd Generation Partnership Project (3GPP). This fronthaul connection is not yet provided by packet based network. To employ packet-based network for C-RAN fronthaul, the carried fronthaul traffic are needed to achieve the requirements of fronthaul streams. For this reason, the aim of this paper is focused on investigating and evaluating the feasibility of Ethernet networks for mobile fronthaul. The fronthaul requirements used to evaluate and investigate this network are maximum End to End (E2E) latency, Packet Loss Ratio (PLR) and Packet Delay Variation (PDV). The simulated results and numerical analysis confirm that the PDV and PLR of High Priority (HP) traffic in Ethernet network meet the requirements of mobile fronthaul using CPRI. However, the PDV of HP traffic meets the fronthaul network when the number of nodes in the Ethernet network is at most four. For Ethernet network, the number of nodes in the network limits the maximum separation distance between BBU and RRH (link length); for increasing the number of nodes, the link length decreases. Consequently, Radio over Ethernet (RoE) traffic should receive the priority and Quality of Service (QoS) HP can provide. On the other hand, Low Priority (LP) classes are not sensitive to QoS metrics and should be used for transporting time insensitive applications and services.
Volume: 7
Issue: 1
Page: 287-298
Publish at: 2017-07-01
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